Optimizing Time Series Models for Water Demand Forecasting

This study focuses on optimizing time series forecasting models for water demand in a North Italian city as part of the Battle of the Water Demand Forecast (BWDF) challenge. It aims to accurately predict water demands across ten district-metered areas (DMAs) using historical data and weather informa...

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Bibliographic Details
Main Authors: Gal Perelman, Yaniv Romano, Avi Ostfeld
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Engineering Proceedings
Subjects:
Online Access:https://www.mdpi.com/2673-4591/69/1/9
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